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如何通过行情API接口查询贵金属实时价格

🕗 发布于 2024-10-17 02:42 算法  python  php  java  json  

行情数据api可以快速获取实时tick数据信息，也即所谓的逐笔成交价格。市面上稳定可用的贵金属行情接口虽然比股票的要少，但好产品还是有的。在这记录一个好评比较多的一款。


该API接口需要先注册账户，注册后直接在个人中心找到API秘钥就可以进行对接开发。

申请免费token：https://alltick.co/register

请求示例：

使用HTTP请求查询贵金属行情价格

import time
 
import requests# pip3 install requests
import json
 
# Extra headers
test_headers = {
    'Content-Type' : 'application/json'
}
 
'''
github：https://github.com/alltick/realtime-forex-crypto-stock-tick-finance-websocket-api
申请免费token：https://alltick.co/register
官网：https://alltick.co
 

 
将如下JSON进行url的encode，复制到http的查询字符串的query字段里
{"trace" : "python_http_test1","data" : {"code" : "USDJPY","kline_type" : 1,"kline_timestamp_end" : 0,"query_kline_num" : 2,"adjust_type": 0}}
{"trace" : "python_http_test2","data" : {"symbol_list": [{"code": "GOLD"}]}}
{"trace" : "python_http_test3","data" : {"symbol_list": [{"code": "GOLD"}]}}
'''
test_url1 = 'https://quote.aatest.online/quote-b-api/kline?token=3662a972-1a5d-4bb1-88b4-66ca0c402a03-1688712831841&query=%7B%22trace%22%20%3A%20%22python_http_test1%22%2C%22data%22%20%3A%20%7B%22code%22%20%3A%20%22USDJPY%22%2C%22kline_type%22%20%3A%201%2C%22kline_timestamp_end%22%20%3A%200%2C%22query_kline_num%22%20%3A%202%2C%22adjust_type%22%3A%200%7D%7D'
 
resp1 = requests.get(url=test_url1, headers=test_headers)
 
# Decoded text returned by the request
text1 = resp1.text
print(text1)

code：查看官方给出的code列表，选择你要查询的code
kline_type： 指的是k线类型，1为1分钟K，2为5分钟K，3为15分钟K，4为30分钟K，5为小时K，6为2小时K，7为4小时K，8为日K，9为周K，10为月K
query_kline_num：查询多少根K线，最多1000根

下面是返回结果：

{
    "ret":200,
    "msg":"ok",
    "cmd_id":14015,
    "seq_id":123,
    "ext":"3baaa938-f92c-4a74-a228-fd49d5e2f8bc-1678419657806",
    "data":{
        "data_list":[
            {
"symbol_id": 1123,
                "trade_type": 1,
                "trade_mode": 0,
                "kline_type": 1,
                "price_digits": 2,
                "kline_list":[
                    {
                        "timestamp": 1605509068,
                        "open_price": "651.12",
                        "close_price": "623.12",
                        "high_price": "674.12",
                        "low_price": "619.12",
                        "last_tick_time": 1605509068000001,
                        "last_tick_seq": 1605509068000001,
                        "transactions_number": "12345.6",
                    },
                ]
            },
        ],
    }    
}

接口同时支持websocket，下面展示使用websocket请求查询现货黄金/伦敦金（XAUUSD）的实时行情价格：

import json
import websocket    # pip install websocket-client

'''
# Special Note:
# GitHub: https://github.com/alltick/realtime-forex-crypto-stock-tick-finance-websocket-api
# Token Application: https://alltick.co
# Replace "testtoken" in the URL below with your own token
# API addresses for forex, cryptocurrencies, and precious metals:
# wss://quote.tradeswitcher.com/quote-b-ws-api
# Stock API address:
# wss://quote.tradeswitcher.com/quote-stock-b-ws-api
'''

class Feed(object):

    def __init__(self):
        # WebSocket URL for forex, cryptocurrencies, and precious metals (use your token)
        self.url = 'wss://quote.tradeswitcher.com/quote-b-ws-api?token=testtoken'  
        self.ws = None

    def on_open(self, ws):
        """
        Callback object which is called at opening websocket.
        1 argument:
        @ ws: the WebSocketApp object
        """
        print('A new WebSocketApp is opened!')

        # Start subscribing to XAUUSD (spot gold)
        sub_param = {
            "cmd_id": 22002,
            "seq_id": 123,
            "trace": "3baaa938-f92c-4a74-a228-fd49d5e2f8bc-1678419657806",
            "data": {
                "symbol_list": [
                    {
                        "code": "XAUUSD",  # Subscribe to XAUUSD (spot gold)
                        "depth_level": 5,
                    }
                ]
            }
        }

        # Send the subscription message
        sub_str = json.dumps(sub_param)
        ws.send(sub_str)
        print("XAUUSD (spot gold) depth quote subscribed!")

    def on_data(self, ws, string, type, continue_flag):
        """
        4 arguments.
        The 1st argument is this class object.
        The 2nd argument is utf-8 string which we get from the server.
        The 3rd argument is data type. ABNF.OPCODE_TEXT or ABNF.OPCODE_BINARY will be came.
        The 4th argument is continue flag. If 0, the data continue
        """

    def on_message(self, ws, message):
        """
        Callback object which is called when received data.
        2 arguments:
        @ ws: the WebSocketApp object
        @ message: utf-8 data received from the server
        """
        # Parse the received message
        result = eval(message)
        print(result)

    def on_error(self, ws, error):
        """
        Callback object which is called when got an error.
        2 arguments:
        @ ws: the WebSocketApp object
        @ error: exception object
        """
        print(error)

    def on_close(self, ws, close_status_code, close_msg):
        """
        Callback object which is called when the connection is closed.
        2 arguments:
        @ ws: the WebSocketApp object
        @ close_status_code
        @ close_msg
        """
        print('The connection is closed!')

    def start(self):
        self.ws = websocket.WebSocketApp(
            self.url,
            on_open=self.on_open,
            on_message=self.on_message,
            on_data=self.on_data,
            on_error=self.on_error,
            on_close=self.on_close,
        )
        self.ws.run_forever()


if __name__ == "__main__":
    feed = Feed()
    feed.start()


原文地址：https://blog.csdn.net/qq_34102871/article/details/142938431

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